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identity-preservation

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An evaluation of popular optimisation-based and encoder-based GAN inversion (image to latent code) approaches. The project utilises the StyleGAN2-ada architecture and for ease of reproduction has been performed on the publically available FFHQ dataset with pre-trained weights.

  • Updated Jan 2, 2026
  • Python

Identity-preserving image-to-video generation: vision-grounded prompt simplification via Qwen3-VL, Lightning LoRA 4-step inference, and SAM3-masked DINOv3 candidate reranking for fluid 720p video from a single reference image.

  • Updated Apr 6, 2026
  • Python

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